Scalable Uplink Modeling for Resource Management in 5G URLLC Networks

The third generation partnership project (3GPP) has outlined ultra-reliable low latency communication (URLLC) essential to ensure enhanced network dependability under stringent latency constraints. A transmission scheme known as configured grant (CG) transmission, defined in 3GPP Release 15, allows devices to compete for resources and transmit their data without explicit permission in a specified time budget. In this study, we introduce an enhanced modeling approach for CG transmission that takes into account the repetition and retransmission, allowing a thorough evaluation of network performance. The numerical results shed light on configuring CG transmission settings to achieve a predetermined probability of success for successful packet decoding. Importantly, the system model in the paper closely follows 3GPP-based Transmission Time Interval (TTI) models, which helps to map the observed results to real system performance.